- Heat Transfer and Boiling Studies
- High-Velocity Impact and Material Behavior
- Structural Analysis and Optimization
- Structural Response to Dynamic Loads
- Heat transfer and supercritical fluids
- Fluid Dynamics and Mixing
- Artificial Intelligence in Healthcare and Education
- Nuclear Engineering Thermal-Hydraulics
- Dynamics and Control of Mechanical Systems
- Adversarial Robustness in Machine Learning
- Privacy-Preserving Technologies in Data
- Composite Structure Analysis and Optimization
- Cellular and Composite Structures
- Elasticity and Material Modeling
- Elasticity and Wave Propagation
- Fluid Dynamics and Heat Transfer
- Structural Load-Bearing Analysis
Xi'an Jiaotong University
2024
China University of Geosciences
2024
Taiyuan University of Technology
1986-1989
Several prior studies underscore the vulnerability of individual participants' local data in collaborative learning settings, such as federated learning, to exposure through a small subset gradients used updating model. This deep leakage from (DLG) empowers attackers reconstruct images with high pixel-wise accuracy and texts probability token-wise matching. Additionally, research has revealed that black-box machine model is susceptible membership inference attack (MIA). In this scenario, an...